The collaboration gives data science and analytics teams access to continuously updated enterprise data in Snowflake and AWS environments to support advanced analytics and AI initiatives
Plainview, N.Y. – Oct. 20, 2026 – meshIQ, a leader in unified middleware management, visibility, and tracking, today announced a partnership with Treehouse Software, a global leader in enterprise-grade data mobility, to help enterprises modernize data pipelines connecting legacy systems with cloud analytics platforms. The collaboration combines Treehouse Software’s Dataflow Toolkit (TDT), which automates data delivery from Apache Kafka®, with meshIQ’s Kafka management and observability capabilities, giving data engineering and IT operations teams centralized visibility and control over the streaming infrastructure supporting these pipelines.
As enterprises expand their use of predictive analytics and generative AI, they need access to both current business information and historical data to support accurate insights and decision-making. However, delivering this information from legacy systems into modern analytics environments requires coordinating multiple stages of data replication, streaming, and integration. Without reliable oversight of these pipelines, delays and disruptions can leave analytics and AI teams working with outdated or incomplete information.
“Dedicated partnerships have been key in our more than four decades of helping enterprises unlock the value of their most critical data, and I’m proud to welcome meshIQ as our latest partner,” said Joseph Brady, Director of Business Development, Alliances, and Marketing at Treehouse Software. “By combining forces with meshIQ, we’re helping organizations bridge the gap between trusted mainframe systems and modern cloud environments with greater efficiency and reliability.”
Treehouse Software’s Dataflow Toolkit (TDT) works alongside existing mainframe replication tools to automate bulk loading and change data capture (CDC) from Kafka into Snowflake and AWS analytics environments. TDT also automatically creates the necessary schemas, history tables, and current views, reducing manual integration work while providing access to both continuously updated enterprise data and historical records.
Complementing these capabilities, meshIQ provides centralized management and observability across open-source and commercial Kafka distributions, including Confluent and Amazon MSK. By monitoring broker health, consumer lag, and partition status in real time, meshIQ helps IT teams identify potential disruptions early, simplify troubleshooting, and maintain reliable data streaming operations at scale.
“As enterprises invest more heavily in AI, the infrastructure supporting their data becomes just as important as the applications and models themselves,” said Navdeep Sidhu, Chief Executive Officer of meshIQ. “Our partnership with Treehouse Software strengthens that foundation while supporting our broader vision for AI-driven enterprise modernization. We’re bringing agentic intelligence to middleware operations and extending our governance expertise to the AI agents increasingly interacting with critical business systems.”
Together, the companies provide a streamlined path from legacy data sources to analytics-ready cloud environments, making current and historical enterprise data available to support predictive analytics, machine learning, and generative AI.
To learn more about the partnership, visit meshiq.com/treehouse-software-and-meshiq.
For more information or to schedule a demo, visit meshiq.com and treehouse.com.
About Treehouse Software
Treehouse Software has specialized in enterprise mainframe data integration since 1982, helping organizations move complex legacy data into modern platforms without sacrificing speed, security or best-practice adherence. Through TDT, Treehouse supports data delivery from a wide range of mainframe sources, including Db2, VSAM, Adabas, IMS, IDMS, Datacom and flat files, into Snowflake and AWS. Treehouse welcomes the opportunity to discuss your environment and help identify the right approach for your data modernization goals. Contact us for more information or to schedule a demonstration.
About meshIQ
Trusted by some of the world’s largest enterprises, meshIQ provides the visibility, governance, and control to move business-critical data and operate, modernize, and evolve complex enterprise environments. For 25 years, meshIQ has provided management, observability, tracking, automation, and governance across complex middleware environments, helping organizations operate and modernize messaging and streaming technologies across cloud and on-premises infrastructure. meshIQ now applies that same expertise to AI-assisted middleware operations, AI-accelerated modernization, and the in-flow governance of autonomous agents.